21 citations · 36 across the 4 of their papers we have counts for
4 papers
A Tightly Coupled LiDAR-IMU Odometry through Iterated Point-Level Undistortion
Keke Liu, Hao Ma, Zemin Wang
Scan undistortion is a key module for LiDAR odometry in high dynamic environment with high rotation and translation speed. The existing line of studies mostly focuses on one pass u…
A Method of Generating Measurable Panoramic Image for Indoor Mobile Measurement System
Hao Ma, Jingbin Liu, Zhirong Hu +5
This paper designs a technique route to generate high-quality panoramic image with depth information, which involves two critical research hotspots: fusion of LiDAR and image data…
A Simple and Efficient Registration of 3D Point Cloud and Image Data for Indoor Mobile Mapping System
Hao Ma, Jingbin Liu, Keke Liu +5
Registration of 3D LiDAR point clouds with optical images is critical in the combination of multi-source data. Geometric misalignment originally exists in the pose data between LiD…
CAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description
Deyu Yin, Qian Zhang, Jingbin Liu +6
As an important technology in 3D mapping, autonomous driving, and robot navigation, LiDAR odometry is still a challenging task. Appropriate data structure and unsupervised deep lea…